Llama 3.3 70B vs Llama 4 Maverick 17B Instruct FP8
Llama 3.3 70B (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from AI at Meta. Llama 3.3 70B ships a 8k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On MMLU PRO, Llama 4 Maverick 17B Instruct FP8 leads by 9.2 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 is ~500% cheaper at $0.15/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Agents, Vision, and Classification | Coding, RAG, and Agents |
| Context window | 8k | 1m |
| Cheapest output | $0.90/1M tokens | $0.60/1M tokens |
| Provider routes | 1 tracked | 11 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Llama 3.3 70B uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Llama 4 Maverick 17B Instruct FP8 holds a shared-benchmark lead on MMLU PRO, ahead by 9.2 points.
- Llama 4 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and route flexibility.
- Llama 4 Maverick 17B Instruct FP8 uniquely exposes Structured outputs in local model data.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $675. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $0.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Llama 4 Maverick 17B Instruct FP8 adds Structured outputs in local capability data.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 3.3 70B is $0.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- Llama 3.3 70B adds JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2025-04-05 |
| Context window | 8k | 1m |
| Parameters | 70B | 400B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Llama 3 Community | Llama 4 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-12 | 2024-08 |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $0.90/1M tokens | $0.15/1M tokens |
| Output price | $0.90/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| MMLU PRO | 71.3 | 80.5 |
Continue comparing
- Llama 3.3 70B vs Qwen2.5-72B
- Llama 3.3 70B vs Qwen2.5-72B-Instruct
- Llama 4 Maverick 17B Instruct FP8 vs Llama 4 Scout 17B-16E Instruct
- Llama 3.3 70B vs Qwen3-30B-A3B
- Llama 3.3 70B vs Qwen2.5-Max
- DeepSeek R1 vs Llama 3.3 70B
- DeepSeek V4 Pro vs Llama 4 Maverick 17B Instruct FP8
- Llama 3.3 70B vs Qwen2-7B-Instruct
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Last reviewed: 2026-09-18. Data sourced from public model cards and provider documentation.